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A DEM-based evaluation of potential flood risk to enhance decision support system for safe evacuation

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  • Jinyoung Kim
  • Yuji Kuwahara
  • Manish Kumar

Abstract

A practical, DEM-based practical method is proposed to enhance flood risk management in fluvial areas by quantifying relative risk as a function of vulnerability to inland and evacuation difficulty. Both measures are based mainly on the topography of the region, so the method does not require detailed data on the physical characteristics of the land. First, we use the deterministic 8-node method on a digital elevation map (DEM) to trace storm waterways. Second, we repeat the process on a reversed DEM to trace evacuation routes that avoid the waterways and zones dangerously close to the rivers. Finally, on the basis of such two flow lines of evacuee and storm water, we proposed the protocol to evaluate the flood risk at every point on the map taking into account both the minimum time required for floodwater to arrive and duration of an evacuation from that location. The time that must be allocated for safe evacuation is defined as the potential flood risk of evacuation (PFRE). The method is demonstrated on a fluvial area of the Kaki River in Nagaoka city, Japan. In addition, we illustrated the application of the PFRE map to divide the region into areas of greater or lesser evacuation urgency. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Jinyoung Kim & Yuji Kuwahara & Manish Kumar, 2011. "A DEM-based evaluation of potential flood risk to enhance decision support system for safe evacuation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(3), pages 1561-1572, December.
  • Handle: RePEc:spr:nathaz:v:59:y:2011:i:3:p:1561-1572
    DOI: 10.1007/s11069-011-9852-2
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    References listed on IDEAS

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    1. Sherali, Hanif D. & Carter, Todd B. & Hobeika, Antoine G., 1991. "A location-allocation model and algorithm for evacuation planning under hurricane/flood conditions," Transportation Research Part B: Methodological, Elsevier, vol. 25(6), pages 439-452, December.
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    Cited by:

    1. HaiBo Hu, 2016. "Rainstorm flash flood risk assessment using genetic programming: a case study of risk zoning in Beijing," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 485-500, August.
    2. Daniela Poli & Ivano Caravaggi, 2013. "3D modeling of large urban areas with stereo VHR satellite imagery: lessons learned," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(1), pages 53-78, August.

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